Machine Learning Engineer Jobs in San Francisco, CA

Jobply is tracking 83 open Machine Learning Engineer jobs in San Francisco, CA right now. Every listing below was added in the last 15 days and is still accepting applications; closed postings are removed every hour, so the count reflects jobs you can actually apply to. The most recent one was posted yesterday.

Pinterest has the most openings with 18, followed by Doordashusa (7), Atlassian (6), Waymo (4) and Lyft (3). Hiring is spread out: those employers account for only 46% of the listings, so most openings come from smaller teams. 72 of these postings (87%) publish a salary range. Among those, the average posted range runs from $201k to $303k a year.

Of the postings that state a work arrangement, 5% are fully remote, 63% are hybrid and 32% are on-site. By experience, 10 are entry-level (0-2 years), 18 are mid-level (2-5 years) and 55 ask for 5 or more years. The skills employers ask for most often are python, machine learning, pytorch, tensorflow and spark. If you can look beyond San Francisco, Machine Learning Engineer roles are also hiring in New York, NY, Seattle, WA, San Jose, CA and Boston, MA.

Each card below links to the full posting with its description, requirements and pay details. To apply faster, the free Jobply Chrome extension fills in the repetitive fields on Workday, Greenhouse, Lever, Ashby and other applicant tracking systems, and you review every answer before you submit.